Abstract
Epidemiological studies have shown that primary dysmenorrhea is the most common disease in gynecology, and its incidence rate is between 20% and 90%, which is a common cause of affecting women’s normal work and quality of life. Its high incidence rate, wide spread and economic losses and social harm have caused widespread concern worldwide. The present work adopted a network pharmacology-based approach to provide new insights into the active compounds and therapeutic targets of Danggui-Baishao herb pair for the treatment of primary dysmenorrhea. Fifteen active compounds of the herb pair possessing favorable pharmacokinetic profiles and biological activities were selected, interacting 17 dysmenorrhea-related targets to provide potential synergistic therapeutic actions. Systematic analysis of the constructed networks revealed that these targets such as ABCB1, ESR1, PGR, AKR1C3, PTGS2, CYP2C8, PTGS1 were mainly involved in Steroid hormone biosynthesis, Arachidonic acid metabolism, serotonergic synapse and Ovarian steroidogenesis through steroid metabolic process, steroid hormone mediated signaling pathway, cyclooxygenase pathway, response to estradiol and response to oxidative stress.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ju, H., Jones, M., Mishra, G.: The prevalence and risk factors of dysmenorrhea. Epidemiol. Rev. 36(1), 104–113 (2014). https://doi.org/10.1093/epirev/mxt009
Su, S., Duan, J., Wang, P., et al.: Metabolomic study of biochemical changes in the plasma and urine of primary dysmenorrhea patients using UPLC–MS coupled with a pattern recognition approach. J. Proteome Res. 12, 852–865 (2013). https://doi.org/10.1021/pr300935x
Dawood, M.Y.: Primary dysmenorrhea: advances in pathogenesis and management. Obstet. Gynecol. 108, 428–441 (2006). https://doi.org/10.1097/01.AOG.0000230214.26638.0c
Marjoribanks, J., Ayeleke, R.O.L., Farquhar, C., Proctor, M.: Nonsteroidal anti-inflammatory drugs for dysmenorrhoea. Cochrane Database Syst. Rev.7, article CD001751 (2015)
Taylor, D.K., Leppert, P.C.: Treatment for uterine fibroids: searching for effective drug therapies. Drug Dis. Today: Therap. Strat. 9(1), e41–e49 (2012). https://doi.org/10.1016/j.ddstr.2012.06.001
Islam, M.S., Akhtar, M.M., Ciavattini, A.: Use of dietary phytochemicals to target inflammation, fibrosis, proliferation, and angiogenesis in uterine tissues: promising options for prevention and treatment of uterine fibroids? Mol. Nutr. Food Res. 58(8), 1667–1684 (2014). https://doi.org/10.1002/mnfr.201400134
Lee, H., Choi, T.-Y.: Herbal medicine (Shaofu Zhuyu decoction) for treating primary dysmenorrhea: a systematic review of randomized clinical trials. Maturitas 86, 64–73 (2016). https://doi.org/10.1016/j.maturitas.2016.01.012
Daily, J.W., Zhang, X.: Efficacy of ginger for alleviating the symptoms of primary dysmenorrhea: a systematic review and meta-analysis of randomized clinical trials. Pain Med. 16(12), 2243–2255 (2015). https://doi.org/10.1111/pme.12853
Lee, M.S., Lee, H.W., Jun, J.H.: Herbal medicine (Danggui Shaoyao San) for treating primary dysmenorrhea: a systematic review and meta-analysis of randomized controlled trials. Maturitas 85, 19–26 (2016). https://doi.org/10.1016/j.maturitas.2015.11.013
Wang, X.: Clinical study on the treatment of primary dysmenorrhea with Danggui peony powder. Cardiovasc. Dis. J. Integr. tradit. Chin. Western Med. 5(35), 180 (2017). https://doi.org/10.16282/j.cnki.cn11-9336/r.2017.35.128
Zhang, Y.Q., Mao, X., Guo, Q.Y., et al.: Network pharmacology-based approaches capture essence of Chinese herbal medicines. Chin. Herb. Med. 8(2), 107–116 (2016)
Hopkins, A.L.: Network pharmacology. Nat. Biotechnol. 25(10), 1110 (2007). https://doi.org/10.1038/nbt1007-1110
Xu, T.F., Li, S.Z., Sun, F.Y., et al.: Systematically characterize the absorbed effective substances of Wutou decoction and their metabolic pathways in rat plasma using UHPLC-Q-TOF-MS combined with a target network pharmacological analysis. J. Pharm. Biomed. Anal. 141, 95 (2017). https://doi.org/10.1016/j.jpba.2017.04.012
Xue, X.C., Hu, J.H.: Research methods and applications in network pharmacology. J. Pharm. Pract. 5, 401–405 (2015). https://doi.org/10.3969/j.issn.1006-0111.2015.05.005
Li, H., Zhao, L., Zhang, B.: A network pharmacology approach to determine active compounds and action mechanisms of ge-gen-qin-lian decoction for treatment of type 2 diabetes. Evid.-Based Compl. Alt. Med. 2014, 495840 (2014). https://doi.org/10.1155/2014/495840
Xu, H.Y., Liu, Z.M., Fu, Y., et al.: Exploiture and application of an internet-based computation platform for integrative pharmacology of traditional Chinese chronic obstructive pulmonary disease. Sci. Rep. 5(8), 15290–15296 (2015). https://doi.org/10.19540/j.cnki.cjcmm.2017.0141
Shen, X., Zhao, Z., Wang, H., et al.: Elucidation of the anti-inflammatory mechanisms of Bupleuri and Scutellariae Radix using system pharmacological analyses. Mediat. Inflamm. (2017). https://doi.org/10.1155/2017/3709874
Zhang, M.L., Deng, J.Y., Fang, C.V., et al.: Molecular network analysis and applications. In: Knowledge-Based Bioinformatics. Wiley, Hoboken (2010). https://doi.org/10.1002/9780470669716.ch11
Hwang, W.C., Zhang, A., Ramanathan, M.: Identification of information flow-modulating drug targets: a novel bridging paradigm for drug discovery. Clin. Pharmacol. Ther. 84(5), 563–572 (2008). https://doi.org/10.1038/clpt.2008.129
Wu, Z.K., Wang, Y., Chen, L.N.: Network-based drug repositioning. Mol. Bios. 9(6), 1268–1281 (2013). https://doi.org/10.1039/C3MB25382A
Iorio, F., Bosotti, R., Scacheri, E., et al.: Discovery of drug mode of action and drug repositioning from transcriptional responses. Proc. Natl. Acad. Sci. U.S.A. 107(33), 14621–14626 (2010). https://doi.org/10.4161/auto.6.8.13551
Hsin, K.Y., Ghosh, S., Kitano, H.: Combining machine learning systems and multiple docking simulation packages to improve docking prediction reliability for network pharmacology. PLoS One 8(12), e83922 (2013). https://doi.org/10.1371/journal.pone.0083922
Jinao, D., Shulan, S., Yuping, D.: Modern understanding of compatibility of traditional Chinese medicines. J. Nanjing Univ. Tradit. Chin. Med. 25(5), 330–333 (2009). https://doi.org/10.3969/j.issn.1000-5005.2009.05.003
Mrugacz, G., Grygoruk, C., Sieczyński, P., et al.: Etiopathogenesis of dysmenorrhea. Med. Wieku Rozwoj 17(1), 85–89 (2013)
Sriraman, S., Ramanujam, G.M., Ramasamy, M., et al.: Identification of beta—sitosterol and stigmasterol in Bambusa bambos (L.) Voss leaf extract using HPLC and its estrogenic effect in vitro. J. Pharm. Biomed. Anal. 115, 55–61 (2015). https://doi.org/10.1016/j.jpba.2015.06.024
Pu, B.C., Jiang, G.Y., Fang, L.: Research on pain related factors and associations of primary dysmenorrhea. Chin. Arch. Tradit. Chin. Med. 32(6), 1368–1370 (2014). https://doi.org/10.13193/j.issn.1673-7717.2014.06.037
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Li, LT., Qiu, HY., Liu, MM., Cai, YM. (2019). Herb Pair Danggui-Baishao: Pharmacological Mechanisms Underlying Primary Dysmenorrhea by Network Pharmacology Approach. In: Huang, DS., Jo, KH., Huang, ZK. (eds) Intelligent Computing Theories and Application. ICIC 2019. Lecture Notes in Computer Science(), vol 11644. Springer, Cham. https://doi.org/10.1007/978-3-030-26969-2_20
Download citation
DOI: https://doi.org/10.1007/978-3-030-26969-2_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-26968-5
Online ISBN: 978-3-030-26969-2
eBook Packages: Computer ScienceComputer Science (R0)